India’s economy faces headwinds as crude oil import dependency climbed to 88.2% in FY25, while the manufacturing sector’s share of GVA slipped to 15.2%. Simultaneously, the services sector is navigating disruption from artificial intelligence. Investors should monitor how these structural challenges—specifically energy costs and industrial output—impact future growth and profitability across key sectors.
India's economic growth remains a global highlight, but data for fiscal year 2024-25 suggests the country faces notable structural headwinds. While domestic demand remains robust, high reliance on imported energy and shifting dynamics within the industrial and services sectors are creating pressure points for long-term stability.
Energy Import Dependence
One of the primary concerns for the economy is the rising dependency on imported crude oil. Reserve Bank of India data shows that crude oil imports accounted for 88.2% of domestic requirements in 2024-25, a significant increase from 77.6% a decade earlier. This high level of import reliance exposes the country to global price volatility, which can influence inflation and the trade deficit. Furthermore, the fertilizer sector remains highly dependent on imported feedstocks, with reliance levels reaching approximately 70%. These dependencies mean that geopolitical tensions or supply chain disruptions in energy markets can directly impact agricultural and industrial production costs.
Manufacturing and AI Challenges
The manufacturing sector has struggled to expand its share of the economy despite policy initiatives like the Production Linked Incentive (PLI) scheme. Manufacturing's contribution to Gross Value Added (GVA) declined to 15.2% in 2024-25, compared to 18.5% in 2021-22, according to analysis by Infomerics Ratings. Persistent hurdles, such as logistics costs and fragmented supply chains, continue to impede the sector's progress toward becoming a self-sustaining engine for growth.
Simultaneously, India’s traditional bedrock—the services sector—is undergoing a transformation due to the rapid advancement of artificial intelligence. As automation increasingly handles routine white-collar tasks, the traditional export-oriented services model faces near-term risks. Bridging the gap between the services and manufacturing sectors has become a priority, with policymakers focusing on how data and software can enhance physical factory output.
What Investors Should Track
For investors, the primary monitorables over the coming quarters will include energy trade balances, the execution and utilization rates of PLI-backed industrial projects, and the ability of service companies to pivot toward high-value AI integration. Tracking how companies manage input costs in energy-dependent industries and whether manufacturing capacity improves will be essential for assessing long-term corporate performance.